Evidence map›Paper›PMID 30289575›Full record

ArticleCancer science2018

Exploration of resistance mechanisms for epidermal growth factor receptor-tyrosine kinase inhibitors based on plasma analysis by digital polymerase chain reaction and next-generation sequencing.

Eiji Iwama, Kazuko Sakai, Koichi Azuma, Daijiro Harada, Kaname Nosaki, Katsuyuki Hotta, Makoto Nishio, Takayasu Kurata, Tatsuro Fukuhara, Hiroaki Akamatsu and 6 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
8.1field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Diagnostic accuracy of next-generation sequencing (NGS) for identifying actionable mutations in advanced non-small cell lung cancer: Systematic Review and Meta-Analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  16. Mutations in exon 8 ofOncology letters · 2019
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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

16 authors at 12 institutions in 1 country.

Eiji IwamaFaculty of Medical Sciences, Department of Comprehensive Clinical Oncology, Kyushu University, Fukuoka, Japan.
Kazuko SakaiDepartment of Genome Biology, Faculty of Medicine, Kinki University, Osaka-Sayama, Japan.
Koichi AzumaDivision of Respirology, Neurology, and Rheumatology, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.ORCID http://orcid.org/0000-0001-5040-5856
Daijiro HaradaDepartment of Thoracic Oncology, NHO Shikoku Cancer Center, Matsuyama, Japan.
Kaname NosakiDepartment of Thoracic Oncology, National Kyushu Cancer Center, Fukuoka, Japan.
Katsuyuki HottaCenter for Innovative Clinical Medicine, Okayama University Hospital, Okayama, Japan.
Makoto NishioDepartment of Thoracic Medical Oncology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.ORCID http://orcid.org/0000-0003-4969-4165
Takayasu KurataDepartment of Thoracic Oncology, Kansai Medical University Hospital, Osaka, Japan.
Tatsuro FukuharaDepartment of Respiratory Medicine, Miyagi Cancer Center, Natori, Japan.
Hiroaki AkamatsuThird Department of Internal Medicine, Wakayama Medical University, Wakayama, Japan.ORCID http://orcid.org/0000-0001-5856-5512
Koichi GotoDepartment of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, Japan.
Takayuki ShimoseClinical Research Support Center Kyushu, Fukuoka, Japan.
Junji KishimotoDepartment of Research and Development of Next Generation Medicine, Kyushu University, Fukuoka, Japan.
Yoichi NakanishiResearch Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kazuto NishioDepartment of Genome Biology, Faculty of Medicine, Kinki University, Osaka-Sayama, Japan.ORCID http://orcid.org/0000-0002-8275-0846
Isamu OkamotoResearch Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID http://orcid.org/0000-0002-7587-6096
Kyushu University · JPKindai University · JPJapanese Foundation For Cancer Research · JPKansai Medical University · JPKurume University · JPKyushu Economic Research Center · JPMiyagi Prefectural Hospital Organization · JPNational Cancer Center Hospital East · JPNational Hospital Organization Kyushu Cancer Center · JPOkayama University Hospital · JPShikoku Cancer Center · JPWakayama Medical University · JP

Funding

Boehringer-Ingelheim
6 · The paper itself

Abstract

Liquid biopsy offers a potential alternative to tissue biopsy for detection of genetic alterations in cancer, and it has been introduced into clinical practice to detect the tyrosine kinase inhibitor (TKI) resistance-conferring T790M mutation of epidermal growth factor receptor (EGFR) in patients with non-small-cell lung cancer (NSCLC). We prospectively collected tumor and plasma samples from 25 NSCLC patients who harbored activating mutations of EGFR and experienced failure of treatment with afatinib. The samples were analyzed by digital PCR (dPCR) and next-generation sequencing (NGS). T790M was detected in plasma with a respective sensitivity and specificity of 83.3% and 70.0% by dPCR and 50.0% and 70.0% by NGS relative to analysis of corresponding tumor samples. Quantitation of T790M based on the ratio of the number of T790M alleles to that of activating mutation alleles (T/A ratio) improved the specificity of plasma analysis to 100% for both dPCR and NGS without a reduction in sensitivity. Although several afatinib resistance mechanisms other than T790M-including copy number gain of NRAS or MET-were identified in tumor samples, the corresponding genetic alterations were not detected in plasma. TP53 mutations were frequently identified in plasma and tumor samples, with most such mutations also having been detected before afatinib treatment. The presence of de novo TP53 mutations was associated with reduced progression-free survival. Quantitation of T790M in plasma is thus a clinically relevant approach to determine the T790M status of tumors. In addition, genetic alterations coexisting with EGFR mutations can affect the efficacy of EGFR-TKI treatment.

Indexed as

Drug Resistance, NeoplasmAfatinibCarcinoma, Non-Small-Cell LungDNAErbB ReceptorsGTP PhosphohydrolasesHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMembrane ProteinsMutationPolymerase Chain ReactionProspective StudiesProtein Kinase InhibitorsProto-Oncogene Proteins c-metSensitivity and SpecificityAfatinibDNAEGFR protein, humanErbB ReceptorsGTP PhosphohydrolasesMembrane ProteinsMET protein, humanNRAS protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins c-metTP53 protein, humanTumor Suppressor Protein p53afatinibcirculating tumor DNAdigital PCRnext-generation sequencingresistance mechanism

Identifiers

PMID30289575
PMCPMC6272092
OpenAlexW2895350217

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.