Evidence map›Paper›PMID 34117553›Full record

ArticleInternational journal of clinical oncology2021

CAPP-seq analysis of circulating tumor DNA from patients with EGFR T790M-positive lung cancer after osimertinib.

Ryoji Kato, Hidetoshi Hayashi, Kazuko Sakai, Shinichiro Suzuki, Koji Haratani, Takayuki Takahama, Junko Tanizaki, Yoshikane Nonagase, Kaoru Tanaka, Takeshi Yoshida and 5 more

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In one paragraph

Article in International journal of clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  5. Liquid biopsy in lung cancer.Breathe (Sheffield, England) · 2025
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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

15 authors at 4 institutions in 1 country.

Ryoji KatoDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Hidetoshi HayashiDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan. hidet31@med.kindai.ac.jp.ORCID http://orcid.org/0000-0001-8787-5587
Kazuko SakaiDepartment of Genome Biology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Shinichiro SuzukiDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Koji HarataniDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Takayuki TakahamaDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Junko TanizakiDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Yoshikane NonagaseDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Kaoru TanakaDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Takeshi YoshidaDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Masayuki TakedaDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Kimio YonesakaDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Hiroyasu KanedaDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Kazuto NishioDepartment of Genome Biology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Kazuhiko NakagawaDepartment of Medical Oncology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan.
Kindai University · JPKishiwada City Hospital · JPNara Medical University Hospital · JPOsaka City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe here applied cancer personalized profiling by deep sequencing (CAPP-seq) to analysis of circulating tumor DNA (ctDNA) to identify resistance mechanisms in osimertinib-treated patients with EGFR T790M-positive non-small cell lung cancer (NSCLC).

methodsThe study included patients with EGFR activating mutation-positive advanced NSCLC who were positive for T790M in tumor tissue or plasma after previous treatment with an EGFR tyrosine kinase inhibitor, who received osimertinib at Kindai University Hospital between August 2014 and September 2017, and for whom plasma collected after progression on osimertinib was available. Clinical data were extracted from medical records. Patients with innate resistance to osimertinib were defined as those whose best response was progressive disease or stable disease for < 6 months, whereas patients with a complete or partial response or stable disease for > 6 months were considered as having acquired resistance.

resultsWe performed CAPP-seq for 20 patients at progression on osimertinib. Distinct patterns of genomic alterations were apparent in patients with innate versus acquired resistance. Mutations in PIK3CA, KRAS, or BRAF and copy number gain for EGFR, ERBB2, or MET were more common in patients with innate resistance than in those with acquired resistance. In addition, one patient who underwent a repeat biopsy was found to harbor the C797S mutation of EGFR after disease progression during osimertinib rechallenge, with this mutation not having been detected at the time of initial progression on osimertinib.

conclusionsCAPP-seq analysis of ctDNA was able to identify potentially targetable genetic alterations in patients with osimertinib resistance.

Indexed as

Epidermal growth factor receptor geneLiquid biopsyNext-generation sequencingNon–small cell lung cancerOsimertinib

Identifiers

PMID34117553
OpenAlexW3167580159

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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.