Evidence map›Paper›PMID 39335743›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Detection of Circulating Tumor Cells and EGFR Mutation in Pulmonary Vein and Arterial Blood of Lung Cancer Patients Using a Newly Developed Immunocytology-Based Platform.

Hitoshi Dejima, Hayao Nakanishi, Ryo Takeyama, Tomoki Nishida, Yoshikane Yamauchi, Yuichi Saito, Yukinori Sakao

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

7 authors.

Hitoshi DejimaDepartment of Surgery, Teikyo University School of Medicine, Itabashi-ku, Tokyo 1738605, Japan.ORCID 0000-0002-2401-4357
Hayao NakanishiLaboratory of Clinical Pathology, Okazaki City Hospital, Okazaki 4440002, Japan.
Ryo TakeyamaDepartment of Surgery, Teikyo University School of Medicine, Itabashi-ku, Tokyo 1738605, Japan.
Tomoki NishidaDepartment of Surgery, Teikyo University School of Medicine, Itabashi-ku, Tokyo 1738605, Japan.ORCID 0000-0003-1186-1693
Yoshikane YamauchiDepartment of Surgery, Teikyo University School of Medicine, Itabashi-ku, Tokyo 1738605, Japan.ORCID 0000-0002-3374-2399
Yuichi SaitoDepartment of Surgery, Teikyo University School of Medicine, Itabashi-ku, Tokyo 1738605, Japan.ORCID 0000-0002-2025-9226
Yukinori SakaoDepartment of Surgery, Teikyo University School of Medicine, Itabashi-ku, Tokyo 1738605, Japan.

Funding

Ministry of Education, Science, Sports, Culture and Technology, Japan 21K08909
6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor (EGFR) tyrosine kinase inhibitors are powerful molecular targeted therapeutic agents for lung cancer. We recently developed an original immunocytology and glass slide-based circulating tumor cell (CTC) detection platform for both CTC enumeration and EGFR mutation analysis with DNA extracted from CTCs.

methodsUsing this platform, we conducted a pilot clinical study for CTC enumeration in peripheral blood (PB), pulmonary arterial blood (PA), and pulmonary venous blood (PV) from 33 patients with lung cancer (Stage I-III) who underwent surgery, followed by digital PCR-based EGFR mutation analysis of CTCs in PV from 12 patients.

resultsThe results showed that CTC levels were significantly higher in PV and PA than in PB (

conclusionsThis immunocytology-based CTC detection platform is a convenient method for detecting both CTC number and EGFR mutation status under microscopy, suggesting its potential as a liquid biopsy tool in the hospital for patients with lung cancer in some clinical settings.

Indexed as

circulating tumor cells (CTCs)cytology-based CTC detection platformdigital PCREGFR mutation analysislung cancer

Identifiers

PMID39335743
PMCPMC11431218

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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.