scholarly journals Dynamic monitoring of EGFR mutations in circulating cell-free DNA for EGFR-mutant metastatic patients with lung cancer: Early detection of drug resistance and prognostic significance

2017 ◽  
Vol 13 (6) ◽  
pp. 4549-4557 ◽  
Author(s):  
Jianjiao Ni ◽  
Linqian Weng ◽  
Yi Liu ◽  
Zhao Sun ◽  
Chunmei Bai ◽  
...  
2020 ◽  
Vol 21 (23) ◽  
pp. 9083
Author(s):  
Catherine Taylor ◽  
Simi Chacko ◽  
Michelle Davey ◽  
Jacynthe Lacroix ◽  
Alexander MacPherson ◽  
...  

Liquid biopsy is a minimally-invasive diagnostic method that may improve access to molecular profiling for non-small cell lung cancer (NSCLC) patients. Although cell-free DNA (cf-DNA) isolation from plasma is the standard liquid biopsy method for detecting DNA mutations in cancer patients, the sensitivity can be highly variable. Vn96 is a peptide with an affinity for both extracellular vesicles (EVs) and circulating cf-DNA. In this study, we evaluated whether peptide-affinity (PA) precipitation of EVs and cf-DNA from NSCLC patient plasma improves the sensitivity of single nucleotide variants (SNVs) detection and compared observed SNVs with those reported in the matched tissue biopsy. NSCLC patient plasma was subjected to either PA precipitation or cell-free methods and total nucleic acid (TNA) was extracted; SNVs were then detected by next-generation sequencing (NGS). PA led to increased recovery of DNA as well as an improvement in NGS sequencing parameters when compared to cf-TNA. Reduced concordance with tissue was observed in PA-TNA (62%) compared to cf-TNA (81%), mainly due to identification of SNVs in PA-TNA that were not observed in tissue. EGFR mutations were detected in PA-TNA with 83% sensitivity and 100% specificity. In conclusion, PA-TNA may improve the detection limits of low-abundance alleles using NGS.


2019 ◽  
Vol 14 (10) ◽  
pp. S855-S856
Author(s):  
E. Stewart ◽  
S. Martins-Filho ◽  
M. Cabanero ◽  
A. Wang ◽  
J. Huang ◽  
...  

Oncotarget ◽  
2015 ◽  
Vol 6 (31) ◽  
pp. 30850-30858 ◽  
Author(s):  
Hidenobu Ishii ◽  
Koichi Azuma ◽  
Kazuko Sakai ◽  
Akihiko Kawahara ◽  
Kazuhiko Yamada ◽  
...  

2021 ◽  
Vol 32 ◽  
pp. S921
Author(s):  
M.C. Liu ◽  
A. Jamshidi ◽  
E.A. Klein ◽  
O. Venn ◽  
E. Hubbell ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256436
Author(s):  
Joerg Bredno ◽  
Jafi Lipson ◽  
Oliver Venn ◽  
Alexander M. Aravanis ◽  
Arash Jamshidi

Background Oncology applications of cell-free DNA analysis are often limited by the amount of circulating tumor DNA and the fraction of cell-free DNA derived from tumor cells in a blood sample. This circulating tumor fraction varies widely between individuals and cancer types. Clinical factors that influence tumor fraction have not been completely elucidated. Methods and findings Circulating tumor fraction was determined for breast, lung, and colorectal cancer participant samples in the first substudy of the Circulating Cell-free Genome Atlas study (CCGA; NCT02889978; multi-cancer early detection test development) and was related to tumor and patient characteristics. Linear models were created to determine the influence of tumor size combined with mitotic or metabolic activity (as tumor mitotic volume or excessive lesion glycolysis, respectively), histologic type, histologic grade, and lymph node status on tumor fraction. For breast and lung cancer, tumor mitotic volume and excessive lesion glycolysis (primary lesion volume scaled by percentage positive for Ki-67 or PET standardized uptake value minus 1.0, respectively) were the only statistically significant covariates. For colorectal cancer, the surface area of tumors invading beyond the subserosa was the only significant covariate. The models were validated with cases from the second CCGA substudy and show that these clinical correlates of circulating tumor fraction can predict and explain the performance of a multi-cancer early detection test. Conclusions Prognostic clinical variables, including mitotic or metabolic activity and depth of invasion, were identified as correlates of circulating tumor DNA by linear models that relate clinical covariates to tumor fraction. The identified correlates indicate that faster growing tumors have higher tumor fractions. Early cancer detection from assays that analyze cell-free DNA is determined by circulating tumor fraction. Results support that early detection is particularly sensitive for faster growing, aggressive tumors with high mortality, many of which have no available screening today.


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