Evidence map›Paper›PMID 39425044›Full record

ArticleBMC cancer2024

Detection of circulating tumor cells in patients with lung cancer using a rare cell sorter: a pilot study.

Kazuto Sugai, Tomoko Mori, Turan Bilal, Atsuko Furukawa, Yasuharu Sekine, Naohiro Kobayashi, Shinji Kikuchi, Yukinobu Goto, Hideo Ichimura, Taisuke Masuda and 3 more

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Circulating Tumor Cells for the Monitoring of Lung Cancer Therapies.International journal of molecular sciences · 2025
    Review
  2. 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

13 authors.

Kazuto SugaiDepartment of Thoracic Surgery, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305- 8577, Japan.
Tomoko MoriDepartment of Clinical Research and Regional Innovation, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
Turan BilalDepartment of Mechanical Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, 113-8654, Japan.
Atsuko FurukawaDepartment of Clinical Research and Regional Innovation, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
Yasuharu SekineDepartment of Thoracic Surgery, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305- 8577, Japan.
Naohiro KobayashiDepartment of Thoracic Surgery, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305- 8577, Japan.
Shinji KikuchiDepartment of Thoracic Surgery, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305- 8577, Japan.
Yukinobu GotoDepartment of Thoracic Surgery, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305- 8577, Japan.
Hideo IchimuraDepartment of Thoracic Surgery, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305- 8577, Japan.
Taisuke MasudaDepartment of Mechanical Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, 113-8654, Japan.
Fumihito AraiDepartment of Mechanical Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, 113-8654, Japan.
Yukio SatoDepartment of Thoracic Surgery, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305- 8577, Japan.
Satoshi MatsusakaDepartment of Clinical Research and Regional Innovation, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan. matsusaka-s@md.tsukuba.ac.jp.

Funding

Japan Agency for Medical Research and Development 19he2202003h0201Japan Society for the Promotion of Science 21h02997
6 · The paper itself

Abstract

backgroundWe developed a Rare Cell Sorter (RCS) for collecting single cell including circulating tumor cells (CTCs). This single-institution pilot study evaluated the ability of this device to detect tumor-like cells in patients with lung cancer and confirmed their genuineness based on the epidermal growth factor receptor (EGFR) mutation concordance with tissue samples.

methodsThis study included patients treated for lung cancer from September 2021 to August 2022 in University of Tsukuba Hospital. Peripheral blood samples were obtained before surgery or during periodic medical checks for patients treated with drugs. We used the RCS to capture cells based on size. The cells were stained, and the Hoechst-positive, CD45-negative, and epithelial celladhesion molecule (EpCAM)- positive cells were defined as CTCs, were collected. The presumptive CTCs were counted and tested using digital droplet polymerase chain reaction for EGFR mutations and compared with the tissue EGFR status to check concordance.

resultsEighteen patients were included in this study and CTCs were detected in 6 patients (33%). The CTCs from three patients showed EGFR mutation, and the EGFR mutation status of CTCs concorded with that of tissue samples in 83% of the cases (5/6). Only one CTC showed a different status from the tissue, and the concordance rate of EGFR status between CTCs and the tissue was 96% (24/25).

conclusionThe ability of the RCS to detect CTCs in patients with lung cancer was demonstrated based on the concordance of EGFR status in this pilot study. This novel hybrid method of CTC recovery using the RCS has the potential to recover a wide range of CTCs regardless of EpCAM. Further validation through a large-scale study is needed.

Indexed as

ErbB ReceptorsLung NeoplasmsMutationNeoplastic Cells, CirculatingAgedAged, 80 and overBiomarkers, TumorCell SeparationEpithelial Cell Adhesion MoleculeFemaleHumansMaleMiddle AgedPilot ProjectsBiomarkers, TumorEGFR protein, humanEpithelial Cell Adhesion MoleculeErbB ReceptorsCirculating tumor cellEpidermal growth factor receptorEpithelial-mesenchymal transitionLiquid biopsyLung cancer

Identifiers

PMID39425044
PMCPMC11488178

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.