scholarly journals Plasma-based early screening and monitoring of EGFR mutations in NSCLC patients by a 3-color digital PCR assay

2020 ◽  
Vol 123 (9) ◽  
pp. 1437-1444
Author(s):  
Xiang Song ◽  
Jian Gong ◽  
Xiaoling Zhang ◽  
Xiaoyan Feng ◽  
Hui Huang ◽  
...  
2018 ◽  
Vol 2 (3) ◽  
pp. 89-96 ◽  
Author(s):  
Ruifeng Zhou ◽  
Yiran Cai ◽  
Zhaoliang Li ◽  
Shuangye Shen ◽  
Mozhou Sha ◽  
...  

2018 ◽  
Vol 18 (7) ◽  
pp. 697-705 ◽  
Author(s):  
Francesco Passiglia ◽  
Sergio Rizzo ◽  
Christian Rolfo ◽  
Antonio Galvano ◽  
Enrico Bronte ◽  
...  

Background: Recent studies evaluated the diagnostic accuracy of circulating tumor DNA (ctDNA) analysis in the detection of epidermal growth factor receptor (EGFR) mutations from plasma of NSCLC patients, overall showing a high concordance as compared to standard tissue genotyping. However it is less clear if the location of metastatic site may influence the ability to identify EGFR mutations. Objective: This pooled analysis aims to evaluate the association between the metastatic site location and the sensitivity of ctDNA analysis in detecting EGFR mutations in NSCLC patients. Methods: Data from all published studies, evaluating the sensitivity of plasma-based EGFRmutation testing, stratified by metastatic site location (extrathoracic (M1b) vs intrathoracic (M1a)) were collected by searching in PubMed, Cochrane Library, American Society of Clinical Oncology, and World Conference of Lung Cancer, meeting proceedings. Pooled Odds ratio (OR) and 95% confidence intervals (95% CIs) were calculated for the ctDNA analysis sensitivity, according to metastatic site location. Results: A total of ten studies, with 1425 patients, were eligible. Pooled analysis showed that the sensitivity of ctDNA-based EGFR-mutation testing is significantly higher in patients with M1b vs M1a disease (OR: 5.09; 95% CIs: 2.93 – 8.84). A significant association was observed for both EGFR-activating (OR: 4.30, 95% CI: 2.35-7.88) and resistant T790M mutations (OR: 11.89, 95% CI: 1.45-97.22), regardless of the use of digital-PCR (OR: 5.85, 95% CI: 3.56-9.60) or non-digital PCR technologies (OR: 2.96, 95% CI: 2.24-3.91). Conclusions: These data suggest that the location of metastatic sites significantly influences the diagnostic accuracy of ctDNA analysis in detecting EGFR mutations in NSCLC patients.


2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e23251-e23251 ◽  
Author(s):  
Patrick O'Donnell ◽  
Johnny Shyu ◽  
Jane Ferguson ◽  
Kelli Demartin ◽  
Theresa May ◽  
...  

Diagnostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1062
Author(s):  
Annamaria Siggillino ◽  
Paola Ulivi ◽  
Luigi Pasini ◽  
Maria Sole Reda ◽  
Elisa Chiadini ◽  
...  

Analysis of circulating cell-free tumor DNA (cftDNA) has emerged as a specific and sensitive blood-based approach to detect epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) patients. Still, there is some debate on what should be the preferential clinical method for plasma-derived cftDNA analysis. We tested 31 NSCLC patients treated with anti-EGFR tyrosine kinase inhibitors (TKIs), at baseline and serially during therapy, by comparing three methodologies in detecting EGFR mutations (L858R, exon 19 deletion, and T790M) from plasma: scorpions-amplification refractory mutation system (ARMS) methodology by using EGFR Plasma RGQ PCR Kit-QIAGEN, peptide nucleic acid (PNA) clamp and PANA RealTyper integration by using PNAClamp EGFR-PANAGENE, and digital real time PCR by using QuantStudio 3D Digital PCR System-Thermo Fisher Scientific. Specificity was 100% for all three mutations, independently from the platform used. The sensitivity for L858R (42.86%) and T790M (100%) did not change based on the method, while the sensitivity for Del 19 differed markedly (Scorpion-ARMS 45%, PNAClamp 75%, and Digital PCR 85%). The detection rate was also higher (94.23%) as measured by Digital PCR, and when we monitored the evolution of EGFR mutations over time, it evidenced the extreme inter-patient heterogeneity in terms of levels of circulating mutated copies. In our study, Digital PCR showed the best correlation with tissue biopsy and the highest sensitivity to attain the potential clinical utility of monitoring plasma levels of EGFR mutations.


Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2736
Author(s):  
Aliki Ntzifa ◽  
Athanasios Kotsakis ◽  
Vassilis Georgoulias ◽  
Evi Lianidou

Circulating tumor DNA (ctDNA) analysis has clinical utility in EGFR mutant NSCLC. Circulating tumor cells (CTCs) consist a unique source of information at the cellular level. Digital PCR (dPCR) is a valuable tool for accurate and valid analysis of gene mutations in liquid biopsy analysis. In the present study we detected EGFR mutations in ctDNA and paired CTCs under osimertinib therapy at two time points using crystal dPCR and the naica® system (Stilla Technologies). We quantified mutation allele frequencies (MAF) of EGFR mutations in 91 plasma cfDNA samples of 48 EGFR mutant NSCLC patients and in 64 matched CTC-derived genomic DNA samples, and the FDA-cleared cobas® EGFR mutation test in 80 identical plasma samples. Direct comparison between crystal dPCR and the cobas EGFR assay revealed a high concordance for all EGFR mutations. Our comparison of crystal dPCR results in ctDNA with the corresponding primary tissue has shown a strong correlation. EGFR mutations analysis in paired CTC-derived gDNA revealed a high heterogeneity. Crystal dPCR offers the unique advantages of high analytical sensitivity, precision, and accuracy for detecting and quantifying multiple EGFR mutations in plasma cfDNA and CTCs of NSCLC patients.


Author(s):  
Leiming Xia ◽  
Lu Wen ◽  
Siying Wang

: EGFR-TKIs are facing a big challenge of everlasting activated EGFR mutations which lack of effective binding sites, this barrier confers the dark sides that largely limited the outcome of NSCLC patients in clinic. Combination strategies show impressive anti-tumor efficacy comparing with EGFR-TKI mono-treatment, especially targeting both stem cells and non-stem cells. SHP2 (Src homology 2-containing phosphotyrosine phosphatase 2) plays an important role in regulating various malignant biology through hyper-activating intracellular pathways due to either over expression or catalytical mutation. Some pathways that SHP2 involved in were overlaps with EGFR downstream, and others were not subject to EGFR. Interestingly, SHP2 suppression was reported that can destroy the stemness of cancer. Therefore, we hypothesize SHP2 inhibitor might be an promising drug that could synergistically enhance or sensitize the anti-tumor efficacy of EGFR-TKIs in EGFR mutated NSCLC patients. Here, we summarized the mechanisms of SHP2 in regulating EGFR mutated NSCLC patients, attempted to reveal the potential synergistic effects of SHP2 inhibitor combined with EGFR-TKIs.


2021 ◽  
Vol 15 ◽  
pp. 117955492199307
Author(s):  
Klaus Hackner ◽  
Anna Buder ◽  
Maximilian J Hochmair ◽  
Matthaeus Strieder ◽  
Christina Grech ◽  
...  

Background: Proof of the T790M resistance mutation is mandatory if patients with EGFR-mutated non-small cell lung cancer (NSCLC) progress under first- or second-generation tyrosine kinase inhibitor therapy. In addition to rebiopsy, analysis of plasma circulating tumor DNA is used to detect T790M resistance mutation. We studied whether sputum is another feasible specimen for detection of EGFR mutations. Methods: Twenty-eight patients with advanced EGFR-mutated NSCLC were included during stable and/or progressive disease. The initial activating EGFR mutations (exon 19 deletions or L858R mutations) at stable disease and at progressive disease (together with T790M) were assessed in simultaneously collected plasma and sputum samples and detected by droplet digital polymerase chain reaction (ddPCR). Results: Activating EGFR mutations were detected in 47% of the plasma samples and 41% of sputum samples during stable disease, and in 57% of plasma samples and 64% of sputum samples during progressive disease. T790M was detected in 44% of the plasma samples and 66% of the sputum samples at progressive disease. In ddPCR T790M-negative results for both specimens (plasma and sputum), negativity was confirmed by rebiopsy in 5 samples. Concordance rate of plasma and sputum for T790M was 0.86, with a positive percent agreement of 1.0 and a negative percent agreement of 0.80. Conclusions: We demonstrated that EGFR mutation analysis with ddPCR is feasible in sputum samples. Combination of plasma and sputum analyses for detection of T790M in NSCLC patients with progressive disease increases the diagnostic yield compared with molecular plasma analysis alone.


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