scholarly journals Detection of somatic mutations in cell-free DNA in plasma and correlation with overall survival in patients with solid tumors

Oncotarget ◽  
2017 ◽  
Vol 9 (12) ◽  
pp. 10259-10271 ◽  
Author(s):  
Meenakshi Mehrotra ◽  
Rajesh R. Singh ◽  
Sanam Loghavi ◽  
Dzifa Yawa Duose ◽  
Bedia A. Barkoh ◽  
...  
2021 ◽  
Vol 22 (14) ◽  
pp. 7411
Author(s):  
Jingjing Jiao ◽  
Jessica I. Sanchez ◽  
Erika J. Thompson ◽  
Xizeng Mao ◽  
Joseph B. McCormick ◽  
...  

Hispanics are disproportionally affected by liver fibrosis and hepatocellular carcinoma (HCC). Advanced liver fibrosis is a major risk factor for HCC development. We aimed at identifying somatic mutations in plasma cell-free DNA (cfDNA) of Hispanics with HCC and Hispanics with advanced liver fibrosis but no HCC. Targeted sequencing of over 262 cancer-associated genes identified nonsynonymous mutations in 22 of the 27 HCC patients. Mutations were detected in known HCC-associated genes (e.g., CTNNB1, TP53, NFE2L2, and ARID1A). No difference in cfDNA concentrations was observed between patients with mutations and those without detectable mutations. HCC patients with higher cfDNA concentrations or higher number of mutations had a shorter overall survival (p < 0.001 and p = 0.045). Nonsynonymous mutations were also identified in 17 of the 51 subjects with advanced liver fibrosis. KMT2C was the most commonly mutated gene. Nine genes were mutated in both subjects with advanced fibrosis and HCC patients. Again, no significant difference in cfDNA concentrations was observed between subjects with mutations and those without detectable mutations. Furthermore, higher cfDNA concentrations and higher number of mutations correlated with a death outcome in subjects with advanced fibrosis. In conclusion, cfDNA features are promising non-invasive markers for HCC risk prediction and overall survival.


2020 ◽  
Vol 20 (5) ◽  
pp. 413-421.e1
Author(s):  
Mathilde Ritter ◽  
Viola Paradiso ◽  
Patrik Widmer ◽  
Andrea Garofoli ◽  
Luca Quagliata ◽  
...  

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Zimeng Ye ◽  
Zac Chatterton ◽  
Jahnvi Pflueger ◽  
John A Damiano ◽  
Lara McQuillan ◽  
...  

Abstract Brain somatic mutations are an increasingly recognized cause of epilepsy, brain malformations and autism spectrum disorders and may be a hidden cause of other neurodevelopmental and neurodegenerative disorders. At present, brain mosaicism can be detected only in the rare situations of autopsy or brain biopsy. Liquid biopsy using cell-free DNA derived from cerebrospinal fluid has detected somatic mutations in malignant brain tumours. Here, we asked if cerebrospinal fluid liquid biopsy can be used to detect somatic mosaicism in non-malignant brain diseases. First, we reliably quantified cerebrospinal fluid cell-free DNA in 28 patients with focal epilepsy and 28 controls using droplet digital PCR. Then, in three patients we identified somatic mutations in cerebrospinal fluid: in one patient with subcortical band heterotopia the LIS1 p. Lys64* variant at 9.4% frequency; in a second patient with focal cortical dysplasia the TSC1 p. Phe581His*6 variant at 7.8% frequency; and in a third patient with ganglioglioma the BRAF p. Val600Glu variant at 3.2% frequency. To determine if cerebrospinal fluid cell-free DNA was brain-derived, whole-genome bisulphite sequencing was performed and brain-specific DNA methylation patterns were found to be significantly enriched (P = 0.03). Our proof of principle study shows that cerebrospinal fluid liquid biopsy is valuable in investigating mosaic neurological disorders where brain tissue is unavailable.


2016 ◽  
Author(s):  
Jian Gu ◽  
Dumitru Brinza ◽  
Ann Mongan ◽  
Richard Chien ◽  
Dalia Dhingra ◽  
...  

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14530-e14530
Author(s):  
Stephanie J. Yaung ◽  
Liu Xi ◽  
Corinna Woestmann ◽  
Christine Ju ◽  
Daniel M. Klass ◽  
...  

e14530 Background: Somatic variants found in plasma cell-free DNA (cfDNA) may derive from either solid tumors or clonal hematopoiesis (CH). Little is known about how this may impact plasma-based longitudinal disease monitoring using targeted sequencing of circulating tumor DNA (ctDNA). Methods: To assess the potential impact of CH in disease monitoring, we evaluated monitoring algorithms by targeted sequencing with and without matched peripheral blood mononuclear cells (PBMC). Samples were collected from a prospective observational study, where 62 late stage lung adenocarcinoma subjects were treated with first-line chemo or chemoradiation therapy. Pre-treatment plasma cfDNA and matched PBMC were analyzed with the AVENIO ctDNA Surveillance Kit (For Research Use Only, not for use in diagnostic procedures), a sequencing panel of 198 kilobases targeting cancer genes. Median input amounts of 25 ng cfDNA and 50 ng PBMC DNA were sequenced to median deduplicated depths of 4582 and 6134, respectively. Results: A median of 120 single nucleotide variants were detected per cfDNA sample, with 93.1% of these identified in matched PBMC. Most PBMC-matched cfDNA variants were germline SNPs, with allele frequency (AF) ~ 50% or 100%. A median of 1 (range 0-5) PBMC-matched cfDNA variants per sample were detected with an AF < 10%, consistent with CH. The number of these variants was positively associated with age (p-value = 0.0039) and the most frequently mutated gene was TP53. The remaining somatic variants (i.e., in cfDNA and not PBMC) had an AF range 0.03-40.9%. These PBMC-informed variants (median of 7 per sample) were used in longitudinal monitoring in the first post-treatment plasma sample to assess early response to therapy. Association between ctDNA level and progression-free survival using the same monitoring algorithm yielded nearly identical results on somatic variants derived from filtering approaches independent of matched PBMC (HR 0.32; 95% CI 0.16 - 0.65; log-rank P = 0.0009) and the PBMC-informed method (HR 0.31; 95% CI 0.14 - 0.66; log-rank P = 0.0013). Conclusions: A targeted panel focused on solid tumors by design has limited impact from CH. For disease monitoring applications in a non-MRD setting, measuring multiple variants instead of a single variant further enables robust classifiers that can moderate the impact of variants, if any, from CH.


PLoS ONE ◽  
2017 ◽  
Vol 12 (4) ◽  
pp. e0176241 ◽  
Author(s):  
Christopher K. Raymond ◽  
Jennifer Hernandez ◽  
Reynold Karr ◽  
Kay Hill ◽  
Mark Li

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2985-2985
Author(s):  
Brian C.-H. Chiu ◽  
Zhou Zhang ◽  
Qiancheng You ◽  
Elizabeth Stepniak ◽  
Paige Bracci ◽  
...  

Abstract Background: Elevated levels of circulating cell-free DNA (cfDNA) have been associated with poor prognosis and relapse in patients with diffuse large B-cell lymphoma (DLBCL). However, the tumor-specific molecular targets in cfDNA that have prognostic significance remain unclear. We investigated the association between 5-hydroxymethylcytosine (5hmC), a mark of active demethylation and gene activation, in cfDNA from plasma and prognosis in DLBCL. Methods: We used the 5hmC-Seal, a highly sensitive chemical labeling technique integrated with next-generation sequencing (NGS), to profile 5hmC in plasma cfDNA samples from Caucasian patients at the University of Chicago who were newly diagnosed with DLBCL (n=43) or follicular lymphoma (FL, n=28), the two most common histological subtypes of non-Hodgkin lymphoma (NHL), in 2011-13. Baseline clinical, laboratory, and vital status data were abstracted from medical records. Patients were followed through December 31, 2017 and those who relapsed after completion of treatment, lost to follow-up, or died were censored. We profiled 5hmC with 1-2 ng of cfDNA extracted from ~2 ml of plasma for library construction and the NGS. We obtained ~25 million reads per sample, providing a depth of coverage ~600X in terms of gene bodies. We normalized read counts and identified differential 5hmC markers using DESeq2. Cox proportional hazards model were used to estimate the association between 5hmC markers and overall survival. Results: We found that in cfDNA from DLBCL patients, 5hmC markers were enriched within gene bodies and depleted in CpG islands. The cfDNA-based 5hmC profiles at diagnosis differed between DLBCL and FL, and in DLBCL, the 5hmC profiles differed between Ann Arbor stage (stage 1/2 vs stage 3/4), lactate dehydrogenase (LDH) level (normal vs elevated), and cell-of-origin (germinal center B-like and activated B-cell-like DLBCL). In addition, genome-wide 5hmC distribution patterns in cfDNA samples are highly correlated with those found in cfDNA-paired tumor tissues, supporting the tumor relevance of cfDNA in a patient. Next, we evaluated the prognostic significance of cfDNA-based 5hmC in DLBCL using a two-step approach. In the discovery phase (7 DLBCL patients with relapse and 12 age- and sex-matched patients without relapse within two years following treatment), a substantial number of 5hmC markers were associated with relapse (449 gene bodies at 5% false discovery rate [FDR]). These relapse-associated 5hmC signatures showed high sensitivity, specificity, and overall accuracy (area under curve [AUC]=0.91) in predicting relapse in the independent validation set (relapse=5, no relapse=13). Finally, we identified a panel of 128 5hmC markers (fold change >20% and p-value <0.05) that were associated with 4-year overall survival. Conclusion: These findings suggest that 5hmC signatures in cfDNA at the time of DLBCL diagnosis correlate with standard clinical prognostic indices and hold promise as non-invasive markers for prognosis and survival. Disclosures Smith: BMS: Consultancy; Portola: Honoraria.


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