Evidence map›Paper›PMID 41301007›Full record

ArticleCancers2025

Novel CTC Detection Method in Patients with Pancreatic Cancer Using High-Resolution Image Scanning.

Takahiro Manabe, Tomoyuki Okumura, Kenji Terabayashi, Takahisa Akashi, Teo Yi Rui, Yoshihisa Numata, Naoya Takeda, Akane Yamada, Nana Kimura, Mina Fukasawa and 15 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

25 authors.

Takahiro ManabeDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.ORCID 0000-0002-7199-6883
Tomoyuki OkumuraDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Kenji TerabayashiDepartment of Mechanical and Intellectual Systems Engineering, Faculty of Engineering, University of Toyama, Toyama 9300194, Japan.
Takahisa AkashiDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Teo Yi RuiDepartment of Mechanical and Intellectual Systems Engineering, Faculty of Engineering, University of Toyama, Toyama 9300194, Japan.
Yoshihisa NumataDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Naoya TakedaDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Akane YamadaDepartment of Mechanical and Intellectual Systems Engineering, Faculty of Engineering, University of Toyama, Toyama 9300194, Japan.
Nana KimuraDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Mina FukasawaDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Tatsuhiro ArakiDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Kosuke MoriDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Yusuke KishiDepartment of Mechanical and Intellectual Systems Engineering, Faculty of Engineering, University of Toyama, Toyama 9300194, Japan.
Kisuke TanakaDepartment of Mechanical and Intellectual Systems Engineering, Faculty of Engineering, University of Toyama, Toyama 9300194, Japan.
Tomohiro MinagawaDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Takeshi MiwaDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.ORCID 0000-0003-2907-6669
Toru WatanabeDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Katsuhisa HiranoDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Shinichi SekineDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Isaya HashimotoDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Kazuto ShibuyaDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.ORCID 0000-0002-9969-5644
Isaku YoshiokaDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Koshi MatsuiDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.
Tohru SasakiDepartment of Mechanical and Intellectual Systems Engineering, Faculty of Engineering, University of Toyama, Toyama 9300194, Japan.
Tsutomu FujiiDepartment of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 9300194, Japan.ORCID 0000-0003-0625-1911

Funding

Japan Society for the Promotion of Science 21K08729Japan Society for the Promotion of Science 24K11844
6 · The paper itself

Abstract

BACKGROUND/

objectivesAppropriate biomarkers are necessary for early diagnosis and multidisciplinary treatment of pancreatic ductal adenocarcinoma (PDAC). In recent years, the clinical utility of circulating tumor cells (CTC) as biomarkers for various can-cers has been reported; however, their detection rate in PDAC remains low, and clinical evidence is not yet established. CTC detection methods with high reliability and per-formance are essential for clarifying the importance of CTC in patients with PDAC.

methodsA total of 5 mL peripheral blood samples were collected from 38 patients newly diagnosed with PDAC and 17 healthy controls. Negatively enriched cells were immunofluorescently stained with EpCAM-phycoerythrin and cell surface vi-mentin-fluorescein isothiocyanate (CSV). Images were automatically captured using an all-in-one fluorescence microscope. Cellular regions were detected from these images, and the average luminance of the cellular regions was calculated. A total of 9086 and 1071 cell images were obtained from patients with PDAC and healthy controls, respec-tively.

resultsIn the EpCAM assay, a threshold that included 95% of healthy individuals was optimal for distinguishing patients with PDAC from healthy controls, with a sensi-tivity, specificity, and area under the curve of 0.74, 0.76, and 0.84, respectively. At this threshold, the CTC-positivity rate in patients with PDAC was 76.3%. Conversely, the CSV assay failed to demonstrate a valid threshold to distinguish patients with PDAC from healthy controls. No significant differences were found between CTC and clini-copathological features among patients with PDAC.

conclusionsThe method using high-resolution image scanning has the potential to identify CTC with greater objectiv-ity by quantifying cell luminance values.

Indexed as

circulating tumor cellshigh-resolution image scanningliquid biopsynegative enrichmentpancreatic ductal adenocarcinoma

Identifiers

PMID41301007
PMCPMC12651565

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.