Evidence map›Paper›PMID 32285618›Full record

ArticleThoracic cancer2020

High MAF of EGFR mutations and high ratio of T790M sensitizing mutations in ctDNA predict better third-generation TKI outcomes.

Yan Li, Fanshuang Zhang, Pei Yuan, Lei Guo, Ying Jianming, Jie He

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Translational lung cancer research · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. A Review of Circulating Tumor DNA in the Diagnosis and Monitoring of Esophageal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Review
  7. Review
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Yan LiDepartment of Pathology and National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fanshuang ZhangDepartment of Pathology and National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Pei YuanDepartment of Pathology and National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lei GuoDepartment of Pathology and National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ying JianmingDepartment of Pathology and National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0002-7301-4118
Jie HeThoracic Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Beijing Hope Run Special Fund of Cancer Foundation of China LC2017B08CAMS Innovation Fund for Medical Sciences 2017-I2M-2-003grants of National Natural Science Foundation of China 81802294National Natural Science Foundation of China 81802294the CAMS Innovation Fund for Medical Sciences 2017-I2M-2-003
6 · The paper itself

Abstract

backgroundClinical detection of EGFR-TKI resistance mechanism through tissue can be really challenging due to risks associated with the procedure. Thus, liquid biopsy, especially circulation tumor DNA (ctDNA) analysis, can be an adequate source for biomarker testing in targeted therapy. Our study was aimed at clinical validation of liquid biopsy next-generation sequencing (NGS) by comparison with tissue biopsy, and we also investigated clinical utility of ctDNA NGS on the prediction of TKI outcomes.

methodsUsing hybrid capture panel NGS, we compared the concordance, sensitivity, and specificity of ctDNA using 39 paired plasma and tissue biopsy, and investigated the association between ctDNA genomic alterations of 147 first-generation TKI-relapsed patients and their response to first- and third-generation TKIs.

resultsThe concordance for ctDNA and tissue biopsy was 84.62% among all patients, and even higher among late stage patients (88.24%). Among 147 EGFR-TKI-relapsed patients, T790M was the most common reason for resistance (40.13%). Compared with T790M-positive patients, patients only detected with sensitizing mutations (sensi-mutations) had lower mutant allele frequency (MAF) of sensi-mutations (P = 0.031). TP53 mutation showed negative impact on TKI treatments. In survival analysis of third-generation TKI, we found a positive correlation between ratio of T790M sensi-mutation and PFS (P = 0.018); also, higher MAFs of both sensi-mutation and T790M were observed in the PR group than the SD + PD group.

conclusionsBoth ratio of T790M sensi-mutations and MAFs of EGFR mutations were associated with third-generation TKI outcomes. Thus, incorporation of high-throughput NGS into clinical trials may be crucial to identifying the response to osimertinib, as it provides more comprehensive genomic information. KEY POINTS: High concordance of ctDNA and tissue biopsy was observed. NGS of ctDNA from 147 TKI-relapsed patients showed that both high ratio of T790M sensitizing mutation (sensi-mutation) and high MAFs of mutations were all associated with better third generation TKI treatment outcomes. The quantification of both MAFs and T790M sensi-mutation ratio should be taken into consideration in some clinical situations, and incorporation of high-throughput NGS into clinical trials may be crucial to identifying the response to osimertinib, as it provides more comprehensive genomic information.

Indexed as

MutationAdultAgedAged, 80 and overBiomarkers, TumorBone NeoplasmsBrain NeoplasmsCarcinoma, Non-Small-Cell LungCirculating Tumor DNADrug Resistance, NeoplasmErbB ReceptorsFemaleFollow-Up StudiesGene FrequencyHigh-Throughput Nucleotide SequencingHumansBiomarkers, TumorCirculating Tumor DNAEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsHigh-throughput NGSliquid biopsyMAFoutcomesratio

Identifiers

PMID32285618
PMCPMC7262937
OpenAlexW3015923016

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LicenceCC BY
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Registered trials

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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.