Evidence map›Paper›PMID 37957228›Full record

ArticleScientific reports2023

Significance of micro-EGFR T790M mutations on EGFR-tyrosine kinase inhibitor efficacy in non-small cell lung cancer.

Takeshi Masuda, Satoru Miura, Yuki Sato, Motoko Tachihara, Akihiro Bessho, Atsushi Nakamura, Taichi Miyawaki, Kohei Yoshimine, Masahide Mori, Hideaki Shiraishi and 11 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

21 authors at 17 institutions in 1 country.

Takeshi MasudaDepartment of Respiratory Medicine, Hiroshima University Hospital, Hiroshima, 734-8551, Japan.
Satoru MiuraDepartment of Internal Medicine, Niigata Cancer Center Hospital, 2-15-3 Kawagishi-cho, Niigata, 951-8566, Japan. miusat1118@niigata-cc.jp.
Yuki SatoDepartment of Respiratory Medicine, Kobe City Medical Center General Hospital, Kobe, 650-0047, Japan.
Motoko TachiharaDivision of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, 650-0017, Japan.
Akihiro BesshoDepartment of Respiratory Medicine, Japanese Red Cross Okayama Hospital, Okayama, 700-8607, Japan.
Atsushi NakamuraDepartment of Pulmonary Medicine, Sendai Kousei Hospital, Sendai, 980-0873, Japan.
Taichi MiyawakiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shunto-gun, 411-8777, Japan.
Kohei YoshimineDepartment of Respiratory Medicine, Iizuka Hospital, Iizuka, 820-8505, Japan.
Masahide MoriDepartment of Thoracic Oncology, National Hospital Organization, Osaka Toneyama Medical Center, Toyonaka, 560-8552, Japan.
Hideaki ShiraishiDepartment of Respiratory Medicine, Mitsui Memorial Hospital, Tokyo, 101-8643, Japan.
Kosuke HamaiDepartment of Respiratory Medicine, Hiroshima Prefectural Hospital, Hiroshima, 734-8530, Japan.
Koji HarataniDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osakasayama, 589-8511, Japan.
Sumiko MaedaDepartment of General Thoracic Surgery, Dokkyo Medical University, Shimotsuga-gun, 321-0293, Japan.
Eriko TabataDepartment of Respiratory Medicine, Ikeda City Hospital, Ikeda, 563-8510, Japan.
Chiyoe KitagawaDepartment of Respiratory Medicine and Medical Oncology, National Hospital Organization Nagoya Medical Center, Nagoya, 460-0001, Japan.
Junko TanizakiDepartment of Medical Oncology, Kishiwada City Hospital, Kishiwada, 596-8501, Japan.
Takumi ImaiDepartment of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, Osaka, 558-8585, Japan.
Shohei NogamiDepartment of Genome Analysis, LSI Medience Corporation, Tokyo, 174-8555, Japan.
Nobuyuki YamamotoDepartment of Internal Medicine III, Wakayama Medical University, Wakayama, 641-8509, Japan.
Kazuhiko NakagawaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osakasayama, 589-8511, Japan.
Noboru HattoriDepartment of Respiratory Medicine, Hiroshima University Hospital, Hiroshima, 734-8551, Japan.
Hiroshima University Hospital · JPKindai University · JPNational Hospital Organization · JPAso Iizuka Hospital · JPDokkyo Medical University · JPHiroshima Prefectural Hospital · JPIkeda Municipal Hospital · JPKishiwada City Hospital · JPKobe City Medical Center General Hospital · JPKobe University · JPMitsui Memorial Hospital · JPNiigata Cancer Center Hospital · JPOkayama Red Cross General Hospital · JPOsaka Metropolitan UniversitySendai Kousei Hospital · JPShizuoka Cancer Center · JPWakayama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small amounts of epidermal growth factor receptor (EGFR) T790M mutation (micro-T790M), which is detected using droplet digital PCR (ddPCR) but not conventional PCR, in formalin-fixed and paraffin-embedded (FFPE) samples have been investigated as a predictive factor for the efficacy of EGFR-tyrosine kinase inhibitors (TKIs). However, the predictive value of micro-T790M remains controversial, possibly owing to the failure to examine artificial T790M in FFPE specimens. Therefore, we examined the predictive value of micro-T790M in first-generation (1G), second-generation (2G), and third-generation (3G) EGFR-TKI efficacy using a new method to exclude FFPE-derived artificial mutations in our retrospective cohort. The primary objective was time to treatment failure (TTF) of 1G, 2G, and 3G EGFR-TKIs according to micro-T790M status. In total, 315 patients with EGFR-positive non-small cell lung cancer treated with 1G, 2G, and 3G EGFR-TKIs were included in this study. The proportion of patients positive for micro-T790M in the 1G, 2G, and 3G EGFR-TKI groups was 48.2%, 47.1%, and 47.6%, respectively. In the micro-T790M-positive group, the TTF was significantly longer in the 2G and 3G EGFR-TKI groups than in the 1G TKI group. No differences in the micro-T790M-negative group were observed. Micro-T790M status detected using ddPCR, eliminating false positives, may be a valuable predictor of EGFR-TKI efficacy.

Indexed as

Carcinoma, Non-Small-Cell LungErbB ReceptorsLung NeoplasmsDrug Resistance, NeoplasmHumansMutationRetrospective StudiesTyrosine Kinase InhibitorsEGFR protein, humanErbB ReceptorsTyrosine Kinase Inhibitors

Identifiers

PMID37957228
PMCPMC10643699
OpenAlexW4388638783

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.