Evidence map›Paper›PMID 40281631›Full record

ArticleClinical epigenetics2025

Plasma cell-free DNA methylation profile before afatinib treatment is associated with progression-free and overall survival of patients with epidermal growth factor receptor gene mutation-positive non-small cell lung cancer.

Mao Fujimoto, Hiroyuki Yasuda, Eri Arai, Makoto Nakajima, Saori Takata, Kei Morikawa, Hisashi Tanaka, Hidetoshi Itani, Takeshi Honda, Kazuya Horiuchi and 21 more

Abstract read
In one paragraph

Article in Clinical epigenetics, 2025. 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
–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. Review
  2. Review
  3. Review
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

31 authors.

Mao Fujimoto *Department of Pathology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan.
Hiroyuki Yasuda *Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Eri AraiDepartment of Pathology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan. earai@keio.jp.ORCID http://orcid.org/0000-0002-0076-4823
Makoto NakajimaDepartment of Pathology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan.
Saori TakataDepartment of Respiratory Medicine, Kyorin University School of Medicine, Tokyo, Japan.
Kei MorikawaDivision of Respiratory Medicine, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan.
Hisashi TanakaDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Aomori, Japan.
Hidetoshi ItaniDepartment of Respiratory Medicine, Ise Red Cross Hospital, Ise, Mie, Japan.
Takeshi HondaDivision of Medical Oncology, Department of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Kazuya HoriuchiRespiratory Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan.
Kageaki WatanabeDepartment of Thoracic Oncology and Respiratory Medicine, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Hideyuki NakagawaDepartment of Respiratory Medicine, National Hospital Organization Hirosaki Hospital, Aomori, Japan.
Yoshiro NakaharaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Yoshitaka SekiDepartment of Internal Medicine, The Jikei University Daisan Hospital, Tokyo, Japan.
Akihiro BesshoDepartment of Respiratory Medicine, Japanese Red Cross Okayama Hospital, Okayama, Japan.
Nobumasa TakahashiDepartment of General Thoracic Surgery, Saitama Cardiovascular and Respiratory Center, Saitama, Japan.
Kentaro HayashiDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, Tokyo, Japan.
Takeo EndoDepartment of Respiratory Medicine, National Hospital Organization Mito Medical Center, Higashiibaraki, Ibaraki, Japan.
Kiyoshi TakeyamaDepartment of Respiratory Medicine, Tokyo Women's Medical University School of Medicine, Tokyo, Japan.
Toshiya MaekuraDepartment of Respiratory Medicine, Hoshigaoka Medical Center, Osaka, Japan.
Nagio TakigawaDepartment of General Internal Medicine 4, Kawasaki Medical School, Okayama, Japan.
Akikazu KawaseFirst Department of Surgery, Hamamatsu University School of Medicine, Shizuoka, Japan.
Makoto EndohDepartment of Thoracic Surgery, Yamagata Prefectural Central Hospital, Yamagata, Japan.
Kenji NemotoDepartment of Respiratory Medicine, National Hospital Organization, Ibarakihigashi National Hospital, Naka, Ibaraki, Japan.
Kazuma KishiDepartment of Respiratory Medicine, Respiratory Center, Toranomon Hospital, Tokyo, Japan.
Kenzo SoejimaClinical and Translational Research Center, Keio University Hospital, Tokyo, Japan.
Yusuke OkumaDepartment of Thoracic Oncology and Respiratory Medicine, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Akira TogashiNippon Boehringer Ingelheim Co., Ltd., Tokyo, Japan.
Noriyuki MatsutaniDepartment of Surgery, Teikyo University Hospital, Mizonokuchi, Kanagawa, Japan.
Nobuhiko SekiDivision of Medical Oncology, Department of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Yae KanaiDepartment of Pathology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan. ykanai@keio.jp.ORCID http://orcid.org/0000-0002-7904-9506

Funding

Nippon Boehringer Ingelheim Co., Ltd., Tokyo, Japan S01PA84234
6 · The paper itself

Abstract

backgroundThe present study aimed to clarify the clinical significance of the cell-free DNA (cfDNA) methylation profile of patients with non-small cell lung cancer (NSCLC) showing the epidermal growth factor receptor (EGFR) gene mutation.

methodsIn 103 patients, genome-wide DNA methylation analysis using Infinium Methylation EPIC array was performed using samples of pre-tyrosine kinase inhibitor afatinib-treatment plasma cfDNA (n = 101) and post-afatinib cfDNA (n = 84).

resultsPrincipal component analysis indicated that the cfDNA methylation profile was altered after afatinib treatment. Hierarchical clustering using the pre-afatinib cfDNA methylation profile revealed that cases with a fatal outcome were accumulated in specific clusters. Moreover, Kaplan-Meier analysis showed that the pre-afatinib cfDNA methylation profile was significantly associated with both progression-free survival (PFS) and overall survival (OS), whereas the post-afatinib profile was not. The genes for which pre-afatinib cfDNA methylation levels were associated with PFS were accumulated in the cadherin, Wnt, and EGFR signaling pathways. Activation of EGFR-related signaling due to DNA methylation alterations might overturn the effect of afatinib. Pre-afatinib levels of CEP170 and CHCHD6 cfDNA methylation were associated with both PFS and OS. Both pre- and post-afatinib cfDNA methylation levels of SLC9A3R2 and INTS1 were associated with bone metastasis. Using the cfDNA methylation levels at two CpG sites, cg12721600 and cg05905155, patients showing an overall response were predicted with a sensitivity of 96% or more.

conclusionsThe non-invasively measurable cfDNA methylation profile may reflect the corresponding profile in cancer cells, and that pre-treatment measurement may provide clinically useful information on EGFR mutation-positive NSCLC.

Indexed as

AfatinibCarcinoma, Non-Small-Cell LungCell-Free Nucleic AcidsDNA MethylationLung NeoplasmsAdultAgedErbB ReceptorsFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMutationProgression-Free SurvivalAfatinibCell-Free Nucleic AcidsEGFR protein, humanErbB ReceptorsAfatinibCell-free DNADNA methylationEpidermal growth factor receptorLung adenocarcinoma

Identifiers

PMID40281631
PMCPMC12032777

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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.