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
Open accessAbstract
Detecting genetic mutations in circulating cell-free DNA (cfDNA) is a promising approach of liquid biopsy. Between June 2014 and May 2015, 168 plasma samples were collected monthly from 20 patients with metastatic lung adenocarcinoma with epidermal growth factor receptor (EGFR) mutation receiving gefitinib therapy. Clinically relevant EGFR mutations, including exon 19 deletion, L858R and T790M, were quantified using droplet digital polymerase chain reaction. In baseline samples, 19 (95.0%) patients had the same mutation with the matched tumors, and pretreatment T790M mutations were also detected in 3 (15.0%) patients. The dynamics of EGFR mutations were generally associated with treatment response for patients with or without measurable disease. For patients with immeasurable tumor deposits, monitoring disease evolution using cfDNA-based mutation quantification appeared to be more reliable compared with measuring the diameters of target tumor lesions. In addition, molecular progressive disease, defined as a ≥20% increase of EGFR mutation concentration compared with the lowest concentration recorded during treatment, was tracked up to 8 months prior to objective progression. In survival analysis, sex (P=0.005), pretreatment T790M mutation status (P=0.006), T790M mutation status at the disease progression (P=0.043) and growth rate of EGFR mutations (P=0.023), had a significant impact on median progression-free survival. In conclusion, dynamic monitoring of EGFR mutations in cfDNA is feasible and appears to be useful in early prediction of drug resistance for patients with lung cancer receiving EGFR tyrosine kinase inhibitors.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Liquid biopsies from plasma can detect resistance mutations such as acquired T790M with 60-80% sensitivity and specificity approaching 100%.
“use of liquid biopsies from plasma to monitor tumor progression and identify EGFR mutations associated with resistance to therapy (e.g., acquired T790M) has been documented, with such biopsies showing 60–80% sensitivity and specificity approaching 100% in detecting specific resistance mutations.”
From Afatinib for the treatment of <i>EGFR</i> mutation-positive NSCLC: A review of clinical findings (2020) · cites this paper as [15]
The Discussion reports that plasma cfDNA monitoring detected T790M at disease progression and could help predict drug resistance. But the paper does not report 60–80% sensitivity or specificity approaching 100% for detecting resistance mutations: the Introduction cites >90% sensitivity and specificity for EGFR mutations generally, while the Discussion's 10 of 18 T790M result is a detection frequency, not a sensitivity estimate. Page numbers are unavailable in our copy. (LLM, conf=0.89)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 35 · Cited by 23
- Authors
- Ni, J., Weng, L., Liu, Y., Sun, Z., Bai, C., & Wang, Y.
- Affiliations
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Academy of Military Medical Sciences (CN)
- Venue
- Oncology Letters
- Publisher
- Spandidos Publications
- Published
- 2017-04-11
- Volume
- 13
- Issue
- 6
- Pages
- 4549-4557
- ISSN
- 1792-1074 (ISSN-L)
- 1792-1082
- PMC
- PMC5453052
- OpenAlex
- W2607189360
- Cited by
- 23
- References
- 35
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 3 · 2022: 1 · 2021: 5 · 2020: 3 · 2019: 4 · 2018: 2 · 2017: 1
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Oncology Letters (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Johns Hopkins University
- Sun Yat-sen University
- Wu Jieping Medical Foundation (320.6750)
- Sun Yat-sen University Cancer Center
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Oncology › HER2/EGFR in Cancer Research
- Keywords
- EGFR mutation, cell-free DNA, liquid biopsy, metastatic lung adenocarcinoma, gefitinib, T790M mutation, drug resistance, progression-free survival, molecular progression, EGFR tyrosine kinase inhibitors, droplet digital PCR
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review