Evidence map›Paper›PMID 32274120›Full record

ArticleJournal of thoracic disease2020

Detection of plasma T790M mutation after the first generation EGFR-TKI resistance of non-small cell lung cancer in the real world.

Haiyan Li, Jinwei Wang, Guojing Zhang, Yuping Li, Ling Lin, Haihua Yang, Jingjing Zhou, Lingna Zhang, Dongqing Lv

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
  2. Pharmacogenomics in oncology: mutation-targeted therapy and biomarker integration in non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Haiyan LiPulmonary Medicine, Affiliated Taizhou Hospital of Zhejiang Province of Wenzhou Medical University, Taizhou 317000, China.
Jinwei WangFunctional Inspection Section, Affiliated Taizhou Hospital of Zhejiang Province of Wenzhou Medical University, Taizhou 317000, China.
Guojing ZhangOncology Department, Wenzhou Geriatric Hospital, Wenzhou 325600, China.
Yuping LiPulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Ling LinPulmonary Medicine, Affiliated Taizhou Hospital of Zhejiang Province of Wenzhou Medical University, Taizhou 317000, China.
Haihua YangRadiation Oncology, Laboratory of Cellular and Molecular Radiation Oncology, Radiation Oncology Institute of Enze Medical Health Academy, Affiliated Taizhou Hospital of Zhejiang Province of Wenzhou Medical University, Taizhou 317000, China.
Jingjing ZhouPathology Department, Affiliated Taizhou Hospital of Zhejiang Province of Wenzhou Medical University, Taizhou 317000, China.
Lingna ZhangPathology Department, Affiliated Taizhou Hospital of Zhejiang Province of Wenzhou Medical University, Taizhou 317000, China.
Dongqing LvPulmonary Medicine, Affiliated Taizhou Hospital of Zhejiang Province of Wenzhou Medical University, Taizhou 317000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe epidermal growth factor receptor (EGFR) gene has been identified as the driving gene of non-small cell lung cancer (NSCLC), and EGFR-tyrosine kinase inhibitor (TKI) has shown efficacy, but acquired resistance is inevitable. It has been confirmed that the secondary EGFR Thr790Met (T790M) mutation accounts for about 50% of the mechanisms of acquired resistance to EGFR-TKI. The third-generation of EGFR-TKI has significantly efficacy in advanced T790M-positive NSCLC patients. Therefore, it is necessary to detect the status of T790M in patients with acquired resistance after first generation EGFR-TKI. The objective of this study was to investigate the positive rate of plasma test T790M mutation and its relationship with different clinical characteristics, and the frequency of T790M mutation in advanced EGFR-mutant NSCLC patients with acquired resistance after firstline EGFR-TKI treatment.

methodsPatients from a single clinical center (Taizhou hospital) were recruited prospectively from September 2017 to June 2018. The eligibility criteria of the trial included the following: (I) aged 18 years or older, histologically confirmed NSCLC stage IIIB/st and EGFR mutation positive; (II) progressive disease (PD) after first generation EGFR-TKI by RECIST v1.1, with PFS>3 months; (III) no third generation TKI treatment. All patients signed informed consent, had 10 mL of blood drawn, and were evaluated for the presence of T790M gene by amplification refractory mutation system (ARMS). The study was approved by the Ethics Committee of Taizhou Hospital (ethical batch number: 201637).

resultsA total of 189 patients were included in the analysis. The overall T790M mutation rate of plasma detection was 36.51% (69/189). The positive rate of T790M mutation after the failure of first generation EGFR-TKI treatment was not correlated with the patient's age, sex, and the type of first generation TKI drugs. However, it was related to the mutation type of EGFR in baseline and the mode of progression according to reports by Wu

conclusionsThe patients with EGFR mutations after the first generation of EGFR-TKI-acquired resistance of NSCLC were evaluated for their plasma EGFR mutation status, and the overall T790M mutation rate of was 36.51%. The frequency of T790M mutation with initial mutation of 19 del was higher than that of L858R mutation and other mutations, and local progression was higher than that in patients with gradual progression and dramatic progression.

Indexed as

cell-free DNA (cfDNA)epidermal growth factor receptor (EGFR)Non-small cell lung cancer (NSCLC)T790M

Identifiers

PMID32274120
PMCPMC7138969

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.