Evidence map›Paper›PMID 21976538›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2011

Quantitative detection of EGFR mutations in circulating tumor DNA derived from lung adenocarcinomas.

Kazuya Taniguchi, Junji Uchida, Kazumi Nishino, Toru Kumagai, Takako Okuyama, Jiro Okami, Masahiko Higashiyama, Ken Kodama, Fumio Imamura, Kikuya Kato

Abstract read
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In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed, 1 pooled it
7.4field-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

155 citing papers in PubMed, 1 synthesis or guideline pooled it, 318 citations in OpenAlex.

  1. Pooled it
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  4. Noninvasive saliva-based EGFR gene mutation detection in patients with lung cancer.American journal of respiratory and critical care medicine · 2014
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  19. Comparison of two digital PCR methods for EGFR DNA and SARS-CoV-2 RNA quantification.Clinica chimica acta; international journal of clinical chemistry · 2021
    Article
  20. Review

95 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Kazuya TaniguchiResearch Institute, Departments of Thoracic Oncology and Thoracic Surgery, Osaka Medical Center for Cancer and Cardiovascular Diseases, Higashinari-ku, Osaka, Japan.
Junji Uchida
Kazumi Nishino
Toru Kumagai
Takako Okuyama
Jiro Okami
Masahiko Higashiyama
Ken Kodama
Fumio Imamura
Kikuya Kato
Osaka Medical Center for Cancer and Cardiovascular Diseases · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeExamination of somatic epidermal growth factor receptor (EGFR) mutations is now a diagnostic routine for treatment of cancer using EGFR tyrosine kinase inhibitors (EGFR-TKI). Circulating tumor DNA is a promising target for noninvasive diagnostics. We evaluated its utility by quantitatively detecting activating and resistant mutations, which were measured with BEAMing (beads, emulsion, amplification, and magnetics). EXPERIMENTAL

designTwenty-three patients with lung cancer with progressive disease after EGFR-TKI treatment and 21 patients who had never been treated with EGFR-TKIs were studied. Their primary tumors were confirmed to have activating mutations. In the plasma DNA of each patient, the activating mutation found in the corresponding primary tumor and the T790M resistance mutation were quantified by BEAMing.

resultsIn 32 of 44 patients, activating mutations were detected in the plasma DNA [72.7%; 95% confidence interval (CI), 58.0%-83.6%]. The T790M mutation was detected in 10 of 23 patients in the first group (43.5%; 95% CI, 25.6%-53.4%). The ratio of T790M to activating mutations ranged from 13.3% to 94.0%. The peak of the distribution of the mutation allele fraction in the plasma DNA was in the 0.1% to 1% range.

conclusionsThe major advantage of BEAMing is its ability to calculate the fraction of T790M-positive alleles from the alleles with activating mutations. This feature enables the detection of increases and decreases in the number of T790M mutations in cancer cells, regardless of normal cell DNA contamination, which may be useful for monitoring disease progression. Circulating tumor DNA could potentially be used as an alternative method for EGFR mutation detection.

Indexed as

MutationAdenocarcinomaAdultAgedAged, 80 and overAmino Acid SubstitutionDNA Mutational AnalysisDNA, NeoplasmErbB ReceptorsFemaleGene FrequencyHumansLung NeoplasmsMaleMiddle AgedReproducibility of ResultsDNA, NeoplasmErbB Receptors

Identifiers

PMID21976538
OpenAlexW2107503225

What OpenQuestion holds

Textmetadata
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.