Evidence map›Paper›PMID 35323965›Full record

ArticleJapanese journal of clinical oncology2022

Final report on plasma ctDNA T790M monitoring during EGFR-TKI treatment in patients with EGFR mutant non-small cell lung cancer (JP-CLEAR trial).

Go Naka, Takuma Yokoyama, Kazuhiro Usui, Hiroo Ishida, Kazuma Kishi, Kohei Uemura, Yasuo Ohashi, Hideo Kunitoh

Erratum issuedAbstract read
In one paragraph

Article in Japanese journal of clinical oncology, 2022. 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Go NakaNational Center for Global Health and Medicine, Tokyo, Japan.ORCID 0000-0002-3804-0898
Takuma YokoyamaKyorin University Hospital, Mitaka, Tokyo, Japan.
Kazuhiro UsuiNTT Medical Center, Tokyo, Japan.
Hiroo IshidaShowa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan.
Kazuma KishiToho University Omori Medical Center, Tokyo, Japan.
Kohei UemuraThe University of Tokyo, Tokyo, Japan.
Yasuo OhashiChuo University, Tokyo, Japan.
Hideo KunitohJapanese Red Cross Medical Center, Tokyo, Japan.

Funding

AstraZeneca UMIN 000023248
6 · The paper itself

Abstract

Osimertinib is active against T790M-positive epidermal growth factor receptor mutant non-small cell lung cancer. We enrolled 122 sensitive epidermal growth factor receptor mutant non-small cell lung cancer patients who were planned to receive or were receiving first-/second-generation epidermal growth factor receptor tyrosine kinase inhibitors without disease progression and monitored plasma T790M every 1-2 months using the cobas® EGFR Mutation Test v2. We previously reported the concordance between T790M status in plasma and tissue. This is the final report on the sensitivity of plasma T790M and the efficacy of sequential osimertinib. The sensitivity was 21.1% (95% confidence interval: 6.1-45.6%). The best overall response was 25.0% (95% confidence interval: 9.8-46.7) in the plasma T790M-positive group and 28.6% (95% confidence interval: 8.4-58.1) in the plasma T790M-negative but tissue T790M-positive group. Median progression-free survival was 7.9 months (95% confidence interval: 4.7-17.5) for the former and 4.4 months (95% confidence interval: 3.0-N.E.) for the latter, with no statistically significant difference (P = 0.74).

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungCirculating Tumor DNALung NeoplasmsErbB ReceptorsHumansMutationProtein Kinase InhibitorsAntineoplastic AgentsCirculating Tumor DNAEGFR protein, humanErbB ReceptorsProtein Kinase Inhibitorsepidermal growth factorliquid biopsylung neoplasmmutation

Identifiers

PMID35323965
PMCPMC9264253

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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.